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https://www.readbyqxmd.com/read/28630885/bayesian-framework-inspired-no-reference-region-of-interest-quality-measure-for-brain-mri-images
#1
Michael Osadebey, Marius Pedersen, Douglas Arnold, Katrina Wendel-Mitoraj
We describe a postacquisition, attribute-based quality assessment method for brain magnetic resonance imaging (MRI) images. It is based on the application of Bayes theory to the relationship between entropy and image quality attributes. The entropy feature image of a slice is segmented into low- and high-entropy regions. For each entropy region, there are three separate observations of contrast, standard deviation, and sharpness quality attributes. A quality index for a quality attribute is the posterior probability of an entropy region given any corresponding region in a feature image where quality attribute is observed...
April 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28625273/development-of-a-core-outcome-set-for-disease-modification-trials-in-mild-to-moderate-dementia-a-systematic-review-patient-and-public-consultation-and-consensus-recommendations
#2
Lucy Webster, Derek Groskreutz, Anna Grinbergs-Saull, Rob Howard, John T O'Brien, Gail Mountain, Sube Banerjee, Bob Woods, Robert Perneczky, Louise Lafortune, Charlotte Roberts, Jenny McCleery, James Pickett, Frances Bunn, David Challis, Georgina Charlesworth, Katie Featherstone, Chris Fox, Claire Goodman, Roy Jones, Sallie Lamb, Esme Moniz-Cook, Justine Schneider, Sasha Shepperd, Claire Surr, Jo Thompson-Coon, Clive Ballard, Carol Brayne, Orlaith Burke, Alistair Burns, Linda Clare, Peter Garrard, Patrick Kehoe, Peter Passmore, Clive Holmes, Ian Maidment, Fliss Murtagh, Louise Robinson, Gill Livingston
BACKGROUND: There is currently no disease-modifying treatment available to halt or delay the progression of the disease pathology in dementia. An agreed core set of the best-available and most appropriate outcomes for disease modification would facilitate the design of trials and ensure consistency across disease modification trials, as well as making results comparable and meta-analysable in future trials. OBJECTIVES: To agree a set of core outcomes for disease modification trials for mild to moderate dementia with the UK dementia research community and patient and public involvement (PPI)...
May 2017: Health Technology Assessment: HTA
https://www.readbyqxmd.com/read/28622141/analysis-of-structural-brain-mri-and-multi-parameter-classification-for-alzheimer-s-disease
#3
Yingteng Zhang, Shenquan Liu
Incorporating with machine learning technology, neuroimaging markers which extracted from structural Magnetic Resonance Images (sMRI), can help distinguish Alzheimer's Disease (AD) patients from Healthy Controls (HC). In the present study, we aim to investigate differences in atrophic regions between HC and AD and apply machine learning methods to classify these two groups. T1-weighted sMRI scans of 158 patients with AD and 145 age-matched HC were acquired from the ADNI database. Five kinds of parameters (i...
June 15, 2017: Biomedizinische Technik. Biomedical Engineering
https://www.readbyqxmd.com/read/28616383/multiparametric-mri-to-distinguish-early-onset-alzheimer-s-disease-and-behavioural-variant-of-frontotemporal-dementia
#4
Elisa Canu, Federica Agosta, Gorana Mandic-Stojmenovic, Tanja Stojković, Elka Stefanova, Alberto Inuggi, Francesca Imperiale, Massimiliano Copetti, Vladimir S Kostic, Massimo Filippi
This prospective study explored whether an approach combining structural [cortical thickness and white matter (WM) microstructure] and resting state functional MRI can aid differentiation between 62 early onset Alzheimer's disease (EOAD) and 27 behavioural variant of frontotemporal dementia (bvFTD) patients. Random forest and receiver operator characteristic curve analyses assessed the ability of MRI in classifying the two clinical syndromes. All patients showed a distributed pattern of brain alterations relative to controls...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28615334/diffusion-weighted-tractography-in-the-common-marmoset-monkey-at-9-4-t
#5
David J Schaeffer, Ramina Adam, Kyle M Gilbert, Joseph S Gati, Alex X Li, Ravi S Menon, Stefan Everling
The common marmoset (Callithrix jacchus) is a small New World primate that is becoming increasingly popular in the neurosciences as an animal model of preclinical human disease. With several major disorders characterized by alterations in neural white matter (e.g., multiple sclerosis, Alzheimer's, schizophrenia) proposed to be transgenically modelled using marmosets, the ability to reliably isolate and characterize major white matter fiber tracts with MRI will be of utility for evaluating structural brain changes related to disease processes and symptomatology...
June 14, 2017: Journal of Neurophysiology
https://www.readbyqxmd.com/read/28610695/a-fuzzy-based-system-reveals-alzheimer-s-disease-onset-in-subjects-with-mild-cognitive-impairment
#6
Sabina Tangaro, Annarita Fanizzi, Nicola Amoroso, Roberto Bellotti
Alzheimer's Disease (AD) is the most frequent neurodegenerative form of dementia. Although dementia cannot be cured, it is very important to detect preclinical AD as early as possible. Several studies demonstrated the effectiveness of the joint use of structural Magnetic Resonance Imaging (MRI) and cognitive measures to detect and track the progression of the disease. Since hippocampal atrophy is a well known biomarker for AD progression state, we propose here a novel methodology, exploiting it as a searchlight to detect the best discriminating features for the classification of subjects with Mild Cognitive Impairment (MCI) converting (MCI-c) or not converting (MCI-nc) to AD...
June 2017: Physica Medica: PM
https://www.readbyqxmd.com/read/28603769/longitudinal-changes-in-amyloid-positron-emission-tomography-and-volumetric-magnetic-resonance-imaging-in-the-nondemented-down-syndrome-population
#7
Patrick J Lao, Ben L Handen, Tobey J Betthauser, Iulia Mihaila, Sigan L Hartley, Annie D Cohen, Dana L Tudorascu, Peter D Bulova, Brian J Lopresti, Rameshwari V Tumuluru, Dhanabalan Murali, Chester A Mathis, Todd E Barnhart, Charles K Stone, Julie C Price, Darlynne A Devenny, Marsha R Mailick, William E Klunk, Sterling C Johnson, Bradley T Christian
INTRODUCTION: Down syndrome (DS) arises from a triplication of chromosome 21, causing overproduction of the amyloid precursor protein and predisposes individuals to early Alzheimer's disease (AD). METHODS: Fifty-two nondemented adults with DS underwent two cycles of carbon 11-labeled Pittsburgh compound B ([(11)C]PiB) and T1 weighted magnetic resonance imaging (MRI) scans 3.0 ± 0.6 years apart. Standard uptake value ratio (SUVR) images (50-70 minutes; cerebellar gray matter [GM]) and GM volumes were analyzed in standardized space (Montreal Neurological Institute space)...
2017: Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
https://www.readbyqxmd.com/read/28602597/performance-comparison-of-10-different-classification-techniques-in-segmenting-white-matter-hyperintensities-in-aging
#8
Mahsa Dadar, Josefina Maranzano, Karen Misquitta, Cassandra J Anor, Vladimir S Fonov, M Carmela Tartaglia, Owen T Carmichael, Charles Decarli, D Louis Collins
INTRODUCTION: White matter hyperintensities (WMHs) are areas of abnormal signal on magnetic resonance images (MRIs) that characterize various types of histopathological lesions. The load and location of WMHs are important clinical measures that may indicate the presence of small vessel disease in aging and Alzheimer's disease (AD) patients. Manually segmenting WMHs is time consuming and prone to inter-rater and intra-rater variabilities. Automated tools that can accurately and robustly detect these lesions can be used to measure the vascular burden in individuals with AD or the elderly population in general...
June 10, 2017: NeuroImage
https://www.readbyqxmd.com/read/28601278/laquinimod-has-no-effects-on-brain-volume-or-cellular-cns-composition-in-the-f1-3xtg-ad-c3h-mouse-model-of-alzheimer-s-disease
#9
Rehana Z Hussain, William A Miller-Little, Doris Lambracht-Washington, Tom C Jaramillo, Masaya Takahashi, Shanrong Zhang, Min Fu, Gary R Cutter, Liat Hayardeny, Craig M Powell, Roger N Rosenberg, Olaf Stüve
BACKGROUND: Laquinimod is an anti-inflammatory agent with good central nervous system (CNS) bioavailability, and neuroprotective and myelorestorative properties. A clinical trial in patients with multiple sclerosis demonstrated that laquinimod significantly reduced loss of brain volume. The cellular substrate or molecular events underlying that treatment effect are unknown. In this study, we aimed to explore laquinimod's potential effects on brain volume, animal behavior, cellular numbers and composition of CNS-intrinsic cells and mononuclear cells within the CNS, amyloid beta (Aβ) accumulation and tau phosphorylation in the F1 3xTg-AD/C3H mouse model of Alzheimer's disease...
August 15, 2017: Journal of Neuroimmunology
https://www.readbyqxmd.com/read/28598850/recovery-from-proactive-semantic-interference-and-mri-volume-a%C3%A2-replication-and-extension-study
#10
David A Loewenstein, Rosie E Curiel, Steven DeKosky, Monica Rosselli, Russell Bauer, Maria Grieg-Custo, Ailyn Penate, Chunfei Li, Gabriel Lizagarra, Todd Golde, Malek Adjouadi, Ranjan Duara
BACKGROUND: The rise in incidence of Alzheimer's disease (AD) has led to efforts to advance early detection of the disease during its preclinical stages. To achieve this, the field needs to develop more sensitive cognitive tests that relate to biological markers of disease pathology. Failure to recover from proactive interference (frPSI) is one such cognitive marker that is associated with volumetric reductions in the hippocampus, precuneus, and other AD-prone regions, and to amyloid load in the brain...
June 8, 2017: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/28592637/in-vivo-imaging-of-prodromal-hippocampus-ca1-subfield-oxidative-stress-in-models-of-alzheimer-disease-and-angelman-syndrome
#11
Bruce A Berkowitz, Jacob Lenning, Nikita Khetarpal, Catherine Tran, Johnny Y Wu, Ali M Berri, Kristin Dernay, E Mark Haacke, Fatema Shafie-Khorassani, Robert H Podolsky, John C Gant, Shaniya Maimaiti, Olivier Thibault, Geoffrey G Murphy, Brian M Bennett, Robin Roberts
Hippocampus oxidative stress is considered pathogenic in neurodegenerative diseases, such as Alzheimer disease (AD), and in neurodevelopmental disorders, such as Angelman syndrome (AS). Yet clinical benefits of antioxidant treatment for these diseases remain unclear because conventional imaging methods are unable to guide management of therapies in specific hippocampus subfields in vivo that underlie abnormal behavior. Excessive production of paramagnetic free radicals in nonhippocampus brain tissue can be measured in vivo as a greater-than-normal 1/T1 that is quenchable with antioxidant as measured by quench-assisted (Quest) MRI...
June 7, 2017: FASEB Journal: Official Publication of the Federation of American Societies for Experimental Biology
https://www.readbyqxmd.com/read/28592457/functional-network-integrity-presages-cognitive-decline-in-preclinical-alzheimer-disease
#12
Rachel F Buckley, Aaron P Schultz, Trey Hedden, Kathryn V Papp, Bernard J Hanseeuw, Gad Marshall, Jorge Sepulcre, Emily E Smith, Dorene M Rentz, Keith A Johnson, Reisa A Sperling, Jasmeer P Chhatwal
OBJECTIVE: To examine the utility of resting-state functional connectivity MRI (rs-fcMRI) measurements of network integrity as a predictor of future cognitive decline in preclinical Alzheimer disease (AD). METHODS: A total of 237 clinically normal older adults (aged 63-90 years, Clinical Dementia Rating 0) underwent baseline β-amyloid (Aβ) imaging with Pittsburgh compound B PET and structural and rs-fcMRI. We identified 7 networks for analysis, including 4 cognitive networks (default, salience, dorsal attention, and frontoparietal control) and 3 noncognitive networks (primary visual, extrastriate visual, motor)...
June 7, 2017: Neurology
https://www.readbyqxmd.com/read/28589856/association-analysis-of-rare-variants-near-the-apoe-region-with-csf-and-neuroimaging-biomarkers-of-alzheimer-s-disease
#13
Kwangsik Nho, Sungeun Kim, Emrin Horgusluoglu, Shannon L Risacher, Li Shen, Dokyoon Kim, Seunggeun Lee, Tatiana Foroud, Leslie M Shaw, John Q Trojanowski, Paul S Aisen, Ronald C Petersen, Clifford R Jack, Michael W Weiner, Robert C Green, Arthur W Toga, Andrew J Saykin
BACKGROUND: The APOE ε4 allele is the most significant common genetic risk factor for late-onset Alzheimer's disease (LOAD). The region surrounding APOE on chromosome 19 has also shown consistent association with LOAD. However, no common variants in the region remain significant after adjusting for APOE genotype. We report a rare variant association analysis of genes in the vicinity of APOE with cerebrospinal fluid (CSF) and neuroimaging biomarkers of LOAD. METHODS: Whole genome sequencing (WGS) was performed on 817 blood DNA samples from the Alzheimer's Disease Neuroimaging Initiative (ADNI)...
May 24, 2017: BMC Medical Genomics
https://www.readbyqxmd.com/read/28588075/cerebral-perfusion-and-the-risk-of-dementia-a-population-based-study
#14
Frank J Wolters, Hazel I Zonneveld, Albert Hofman, Aad van der Lugt, Peter J Koudstaal, Meike W Vernooij, M Arfan Ikram
Background -Cerebral hypoperfusion has previously been associated with mild cognitive impairment and dementia in various cross-sectional studies, but whether hypoperfusion precedes neurodegeneration is unknown. We prospectively determined the association of cerebral perfusion with subsequent cognitive decline and development of dementia. Methods -Between 2005 and 2012, we measured cerebral blood flow by 2D phase-contrast magnetic resonance imaging (MRI) in non-demented participants of the population-based Rotterdam Study...
June 6, 2017: Circulation
https://www.readbyqxmd.com/read/28582450/spontaneous-low-frequency-bold-signal-variations-from-resting-state-fmri-are-decreased-in-alzheimer-disease
#15
Samaneh Kazemifar, Kathryn Y Manning, Nagalingam Rajakumar, Francisco A Gómez, Andrea Soddu, Michael J Borrie, Ravi S Menon, Robert Bartha
Previous studies have demonstrated altered brain activity in Alzheimer's disease using task based functional MRI (fMRI), network based resting-state fMRI, and glucose metabolism from 18F fluorodeoxyglucose-PET (FDG-PET). Our goal was to define a novel indicator of neuronal activity based on a first-order textural feature of the resting state functional MRI (RS-fMRI) signal. Furthermore, we examined the association between this neuronal activity metric and glucose metabolism from 18F FDG-PET. We studied 15 normal elderly controls (NEC) and 15 probable Alzheimer disease (AD) subjects from the AD Neuroimaging Initiative...
2017: PloS One
https://www.readbyqxmd.com/read/28580458/structured-sparse-kernel-learning-for-imaging-genetics-based-alzheimer-s-disease-diagnosis
#16
Jailin Peng, Le An, Xiaofeng Zhu, Yan Jin, Dinggang Shen
A kernel-learning based method is proposed to integrate multimodal imaging and genetic data for Alzheimer's disease (AD) diagnosis. To facilitate structured feature learning in kernel space, we represent each feature with a kernel and then group kernels according to modalities. In view of the highly redundant features within each modality and also the complementary information across modalities, we introduce a novel structured sparsity regularizer for feature selection and fusion, which is different from conventional lasso and group lasso based methods...
October 2016: Medical Image Computing and Computer-assisted Intervention: MICCAI ..
https://www.readbyqxmd.com/read/28577822/genome-wide-association-study-of-language-performance-in-alzheimer-s-disease
#17
Kacie D Deters, Kwangsik Nho, Shannon L Risacher, Sungeun Kim, Vijay K Ramanan, Paul K Crane, Liana G Apostolova, Andrew J Saykin
Language impairment is common in prodromal stages of Alzheimer's disease (AD) and progresses over time. However, the genetic architecture underlying language performance is poorly understood. To identify novel genetic variants associated with language performance, we analyzed brain MRI and performed a genome-wide association study (GWAS) using a composite measure of language performance from the Alzheimer's Disease Neuroimaging Initiative (ADNI; n=1560). The language composite score was associated with brain atrophy on MRI in language and semantic areas...
May 31, 2017: Brain and Language
https://www.readbyqxmd.com/read/28574812/associations-between-apoe-genotype-and-cerebral-small-vessel-disease-a-longitudinal-study
#18
Xiao Luo, Yerfan Jiaerken, Xinfeng Yu, Peiyu Huang, Tiantian Qiu, Yunlu Jia, Kaicheng Li, Xiaojun Xu, Zhujing Shen, Xiaojun Guan, Jiong Zhou, Minming Zhang
OBJECTIVE: It remains unclear if and how the interactions between APOE genotypes and cerebral small-vessel diseases (CSVD) lead to cognitive decline in the long term. Based on ADNI cohort, this longitudinal study aimed to clarify the potential relationship among APOE genotype, CSVD and cognition by integrating multi-level data. METHOD: There were 135 healthy elderly (including ε2, ε4 allele carriers and ε3 homozygotes) who had completed two years' follow-up. MRI markers of CSVD, including white matter hyperintensities (WMH), dilated perivascular space (dPVS), microbleeds and lacune, were assessed...
May 9, 2017: Oncotarget
https://www.readbyqxmd.com/read/28573062/regional-cerebral-blood-flow-in-mild-cognitive-impairment-and-alzheimer-s-disease-measured-with-arterial-spin-labeling-magnetic-resonance-imaging
#19
REVIEW
Alba Sierra-Marcos
Alzheimer's disease (AD) depicts dynamic changes in regional brain function from early stages of the disease. Arterial spin labeling- (ASL-) based MRI methods have been applied for detecting regional cerebral blood flow (rCBF) perfusion changes in patients with AD and mild cognitive impairment (MCI). Nevertheless, the results obtained from ASL studies in AD and MCI are still controversial, since rCBF maps may show both hypoperfusion or hyperperfusion areas in brain structures involved in different cognitive functions...
2017: International Journal of Alzheimer's Disease
https://www.readbyqxmd.com/read/28572147/head-to-head-visual-comparison-between-brain-perfusion-spect-and-arterial-spin-labeling-mri-with-different-postlabeling-delays-in-alzheimer-disease
#20
T Kaneta, O Katsuse, T Hirano, W Ogawa, K Yoshida, T Odawara, Y Hirayasu, T Inoue
BACKGROUND AND PURPOSE: Arterial spin-labeling MR imaging has been recently developed as a noninvasive technique with magnetically labeled arterial blood water as an endogenous contrast medium for the evaluation of CBF. Our aim was to compare arterial spin-labeling MR imaging and SPECT in the visual assessment of CBF in patients with Alzheimer disease. MATERIALS AND METHODS: In 33 patients with Alzheimer disease or mild cognitive impairment due to Alzheimer disease, CBF images were obtained by using both arterial spin-labeling-MR imaging with a postlabeling delay of 1...
June 1, 2017: AJNR. American Journal of Neuroradiology
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